Enhancing Workplace Safety with IoT-Enabled Insights and Multilingual Dashboards
OnPoint Insights collaborated with a global manufacturer of personal protective equipment to improve workplace safety and ergonomics using data from IoT-enabled gloves. We built a centralized data platform and real-time, multilingual dashboards that gave shop-floor workers and leadership clear visibility into ergonomic risks across global operations.
The project reduced manual processes, supported a diverse global workforce, and laid the foundation for future data-driven safety initiatives.
Personal Protective Equipment Manufacturing
13 Weeks
- IoT Data Analytics
- Data Pipeline Development
- Data Acquisition & Cleansing
- Power BI Dashboard Development
- Mobile-First Dashboard Design
- Multilingual Reporting
- Row-Level Security Implementation
- Data Modeling & Visualization
The Challenge
A global PPE manufacturer sought to improve workplace safety and ergonomics for workers by leveraging data from IoT-enabled gloves. The goal was to deliver real-time, multilingual insights to a diverse, global workforce while ensuring high performance, data security, and ease of use across devices.
Complex Data Collection and Cleansing
The client needed to collect and clean complex data from multiple sources to create a reliable foundation for analytics and reporting.
Mobile-Friendly Dashboards
The solution had to be designed for shop floor workers, requiring dashboards that were intuitive, responsive, and easy to use on mobile devices.
Multilingual User Support
The client needed dashboards that could support multiple languages for international users across different regions and roles.
Secure User-Specific Data Access
Sensitive user-specific data had to be protected through row-level security, ensuring that users could only access information relevant to them.
Our Solution
OnPoint Insights implemented a full-scale, user-centric solution using Azure Data Factory, Power BI, Azure Cognitive Services, Azure Translator, and Figma.
The solution was designed to transform complex IoT data into accessible, secure, and multilingual insights for workers and decision-makers.
Held stakeholder workshops to deeply understand ergonomic risk data and how it could drive meaningful insights for workplace safety and productivity.
Built an end-to-end ingestion pipeline using Azure Data Lake Storage, supported by an agile development approach. Cleaned and transformed data into BI-ready formats.
Developed a robust data model and optimized Power BI dashboards based on Figma wireframes, designed specifically for mobile users on the shop floor.
Integrated Azure Translator and Power BI external tools to dynamically translate dashboards into users’ native languages in real time.
Implemented row-level security to ensure user-specific data visibility, maintaining strict compliance with data privacy standards.
Results & Impact
The solution helped the client improve workplace safety visibility, support global users, and create a scalable analytics foundation for future data-driven initiatives.
Real-Time Safety Monitoring
Enabled proactive interventions by identifying ergonomic risks as they occur.
Boosted Productivity
Helped workers improve motion efficiency, reducing fatigue and increasing output.
High User Adoption
Intuitive mobile-first dashboards and localization led to broad internal adoption.
Cost Efficiency
Optimized batch loading and resource use resulted in measurable cost savings.
Scalable Architecture
The Azure-based solution is future-ready and can easily scale with evolving data and reporting needs.
Global Accessibility
Delivered multilingual dashboards accessible across regions and roles.
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